Quantum Algorithms and Applications

Abstract

While it will likely be decades before a fully fault-tolerant quantum computer is engineered, the use of hybrid, quantum-classical protocols promise near-term, perhaps even immediate, applicability in particular cases. The purpose of the research described in this report has been to explore these quantum algorithms with potential, near-term impact. To explore various dimensions of quantum algorithms used for subroutine improvement, the team conducted research on three different sub-topics: quantum walks, obstructions to classical computers, and the quantum linear systems problem (QLSP).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1107886

Entities

People

  • Andrew Glaudell
  • Casey Tomlin
  • Emily E Morgan
  • Isabella Martinez
  • J D Dulny
  • Melinda Andrews
  • Michael Jarret
  • Taylor Hernandez
  • Vaibhaw Kumar

Organizations

  • Booz Allen Hamilton

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computer Programs
  • Computers
  • Information Processing
  • Information Science
  • Linear Systems
  • Machine Learning
  • Monte Carlo Method
  • Quantum Algorithms
  • Quantum Computers
  • Quantum Computing
  • Quantum Information
  • Supervised Machine Learning

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Operations Research
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • Quantum Computing